Instructions to use superdiff/superdiff-sdxl-v1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use superdiff/superdiff-sdxl-v1-0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("superdiff/superdiff-sdxl-v1-0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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README.md
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@@ -50,7 +50,7 @@ Arguments that can be set by user in `pipeline()`:
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- `prompt_1` [required]: text prompt describing first concept to superimpose (e.g. "a flamingo")
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- `prompt_2`[required]: text prompt describing second concept to superimpose (e.g. "a candy cane")
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- `seed`[optional: default=None]: seed for random noise generator for reproducibility; for non-deterministic outputs, set to `None`
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- `num_inference_steps`[optional: default=
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- `batch_size` [optional: default=1]: batch size
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- `guidance_scale` [optional: default=7.5]: scale for classifier-free guidance
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- `height`, `width` [optional: default=512]: height and width of generated images
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- `prompt_1` [required]: text prompt describing first concept to superimpose (e.g. "a flamingo")
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- `prompt_2`[required]: text prompt describing second concept to superimpose (e.g. "a candy cane")
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- `seed`[optional: default=None]: seed for random noise generator for reproducibility; for non-deterministic outputs, set to `None`
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- `num_inference_steps`[optional: default=200]: number of denoising steps
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- `batch_size` [optional: default=1]: batch size
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- `guidance_scale` [optional: default=7.5]: scale for classifier-free guidance
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- `height`, `width` [optional: default=512]: height and width of generated images
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